MODEL-DRIVEN PARAMETERIZATION OF FETAL CORTICAL SURFACES
Résumé
Surface-based analysis is a tool of choice to study the anatomy and function of the cortex in adult and children brains. Common surface registration approaches are not adaptable to fetal data since data-driven mapping techniques are limited by the lack of structural features across all ges-tational ages. In this work, we adapt the HIP-HOP model-driven cortical surface parameterization method to the spe-cific problem of defining correspondences across fetuses with different gestational ages. We demonstrate the validity of our approach by quantifying the curvature evolution during de-velopment. Our findings are highly consistent with previous studies. This work is the first demonstration of the feasibility of applying surface-based mapping and analysis to fetal data.
| Origine | Fichiers produits par l'(les) auteur(s) |
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